Knowledge & Data · Software component

Corpus Coverage Analyzer

Software componentKnowledge & DataKnowledge & Dataarc:CorpusCoverageAnalyzer

An analysis component that uses topic modeling to map the corpus against a taxonomy of required topics, identifying gaps and measuring topic density.

Responsibility. Detects corpus-level completeness gaps in topic coverage.

Also known as: Coverage analysis, Corpus-level completeness check

Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

Required Topic Taxonomy Ch6.4

evaluates assurance

Vector Index Store abstract Ch6.4

Design guidance

SHOULD measure topic density to ensure adequate depth in critical areas, not merely presence.

Classification

Patterns: Topic modelingCoverage analysis
Quality attributes: Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated: Missing domain coverage (e.g., Linux content absent from an IT support corpus)

Sources

Ch6.4: T. Nguyen, "Data Quality Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.4. ISBN: 9798244538229.